Process monitoring of friction stir welding via the frequency of the spindle motor current

被引:5
作者
Longhurst, William R. [1 ]
Wilbur, Isaac C. [1 ]
Osborne, Brandon E. [1 ]
Gaither, Bryan W. [1 ]
机构
[1] Austin Peay State Univ, Dept Phys & Astron, 601 Coll St, Clarksville, TN 37044 USA
关键词
Forming; optimization; digital manufacturing; manufacturing management; production machines; friction stir welding; process monitoring; automation and control; INTERFACIAL STICKING; TORQUE CONTROL; AUTOMATION;
D O I
10.1177/0954405416654089
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Friction stir welding is a solid-state process that is gaining preference for the joining of metals with low melting points. Despite the clear advantages of friction stir welding over traditional fusion welding, voids within the weld seam arise when improper conditions are present. The work presented in this article examines the development of an automated process monitoring system for friction stir welding. The system indirectly monitors the welding torque through the supplied current to the spindle motor. To measure the current, a clamp-on current meter was used. Our results have shown that using a simple and inexpensive clamp-on current meter provides good insight into the welding torque. Examination focused on the frequency spectrum of the current. A Fourier transform decomposed the signal into various frequencies present. The results consistently showed that when no void was present, there was a component of the current's frequency at 14Hz. However, when the tool encountered a void, the frequency spectrum changed. The component at 14Hz went away while content in the range of 1-4Hz increased.
引用
收藏
页码:720 / 730
页数:11
相关论文
共 17 条
[1]   The use of neural network and discrete Fourier transform for real-time evaluation of friction stir welding [J].
Boldsaikhan, Enkhsaikhan ;
Corwin, Edward M. ;
Logar, Antonette M. ;
Arbegast, William J. .
APPLIED SOFT COMPUTING, 2011, 11 (08) :4839-4846
[2]  
Burford D, 2010, P 6 ANN TECHN REV M
[3]  
Dave V.R., 2003, LOS ALAMOS SCI, V28, P63
[4]   In-process gap detection in friction stir welding [J].
Fleming, Paul ;
Lammlein, David ;
Wilkes, D. ;
Fleming, Katherine ;
Bloodworth, Thomas ;
Cook, George ;
Strauss, Al ;
DeLapp, David ;
Lienert, Thomas ;
Bement, Matthew ;
Prater, Tracie .
SENSOR REVIEW, 2008, 28 (01) :62-67
[5]   Material Flow in Friction Stir Welds [J].
Fonda, Richard ;
Reynolds, Anthony ;
Feng, C. R. ;
Knipling, Keith ;
Rowenhorst, David .
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 2013, 44A (01) :337-344
[6]   Friction stir welding: Process, automation, and control [J].
Gibson, B. T. ;
Lammlein, D. H. ;
Prater, T. J. ;
Longhurst, W. R. ;
Cox, C. D. ;
Ballun, M. C. ;
Dharmaraj, K. J. ;
Cook, G. E. ;
Strauss, A. M. .
JOURNAL OF MANUFACTURING PROCESSES, 2014, 16 (01) :56-73
[7]  
Jene T., 2008, Welding in the World, V52, P47, DOI DOI 10.1007/BF03266668
[8]   Signal processing for quality assurance in friction stir welds [J].
Kleiner, D ;
Bird, CR .
INSIGHT, 2004, 46 (02) :85-87
[9]   Applied torque control of friction stir welding using motor current as feedback [J].
Longhurst, William R. ;
Cox, Chase D. ;
Gibson, Brian T. ;
Cook, George E. ;
Strauss, Alvin M. ;
DeLapp, David R. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2014, 228 (08) :947-958
[10]   Torque control of friction stir welding for manufacturing and automation [J].
Longhurst, William R. ;
Strauss, Alvin M. ;
Cook, George E. ;
Fleming, Paul A. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 51 (9-12) :905-913